45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
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import logging
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from typing import Any, Dict
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from catboost import CatBoostClassifier, Pool
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from freqtrade.freqai.prediction_models.BaseRegressionModel import BaseRegressionModel
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logger = logging.getLogger(__name__)
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class CatboostClassifier(BaseRegressionModel):
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"""
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User created prediction model. The class needs to override three necessary
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functions, predict(), train(), fit(). The class inherits ModelHandler which
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has its own DataHandler where data is held, saved, loaded, and managed.
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"""
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def fit(self, data_dictionary: Dict) -> Any:
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"""
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User sets up the training and test data to fit their desired model here
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:params:
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:data_dictionary: the dictionary constructed by DataHandler to hold
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all the training and test data/labels.
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"""
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train_data = Pool(
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data=data_dictionary["train_features"],
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label=data_dictionary["train_labels"],
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weight=data_dictionary["train_weights"],
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)
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cbr = CatBoostClassifier(
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allow_writing_files=False,
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gpu_ram_part=0.5,
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verbose=100,
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early_stopping_rounds=400,
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loss_function='MultiClass',
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**self.model_training_parameters,
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)
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cbr.fit(train_data)
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return cbr
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